Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

The book "Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems" offers a comprehensive collection of methods that combine metaheuristics and machine learning to solve real-world problems. It includes exciting chapters that utilize evolutionary and swarm optimization techniques in conjunction with machine learning approaches. The application areas range from distribution systems to medical diagnostics and include various surveys and literature reviews that enrich the readers. Additionally, some chapters introduce innovative methods such as neuroevolutionary approaches and IoT implementations. The book provides both theoretical and practical content with novel algorithms from the fields of machine learning and metaheuristics.